Project ID: plumID:20.014
Source: PLUMED_input_files/AB42_alone/plumed/plumed.dat
Originally used with PLUMED version: 2.6.0
Stable: zipped raw stdout - zipped raw stderr - stderr
Master: zipped raw stdout - zipped raw stderr - stderr

Click on the labels of the actions for more information on what each action computes
tested onv2.9
tested onmaster
#SETTINGS NREPLICAS=2
#this is the master plumed.dat file for metadynamic metainference simulations

# define groups
MOLINFO
This command is used to provide information on the molecules that are present in your system. More details
STRUCTURE
a file in pdb format containing a reference structure
=../system/template.pdb
WHOLEMOLECULES
This action is used to rebuild molecules that can become split by the periodic boundary conditions. More details
ENTITY0
the atoms that make up a molecule that you wish to align
=1-627
FLUSH
This command instructs plumed to flush all the open files with a user specified frequency. More details
STRIDE
the frequency with which all the open files should be flushed
=1000
#include file with definition of metadynamics CVs
INCLUDE
Includes an external input file, similar to #include in C preprocessor. More details. Show included file
FILE
file to be included
=CVs.dat

# Chemical shifts at 278 K cs:
CS2BACKBONE
Calculates the backbone chemical shifts for a protein. More details
ATOMS
The atoms to be included in the calculation, e
=1-627
DATADIR
The folder with the experimental chemical shifts
=../data
NOPBC
ignore the periodic boundary conditions when calculating distances
TEMPLATE
A PDB file of the protein system
=../system/template.pdb
#activate parallel bias metadynamics
PBMETAD
Used to performed Parallel Bias metadynamics. More details
...
ARG
the input for this action is the scalar output from one or more other actions
=helix.lessthan,beta,rgyr,hydro,salt,dihcor
HEIGHT
the height of the Gaussian hills, one for all biases
=1.2
BIASFACTOR
use well tempered metadynamics with this bias factor, one for all biases
=24 #10*SQRT(NUM_OF_CVS)
SIGMA
the widths of the Gaussian hills
=0.64,0.33,0.03,0.69,2.75,1.34
PACE
the frequency for hill addition, one for all biases
=500
GRID_MIN
the lower bounds for the grid
=-1,-1,-1,-1,-1,-1
GRID_MAX
the upper bounds for the grid
=100,100,20,200,400,50
GRID_SPACING
the approximate grid spacing (to be used as an alternative or together with GRID_BIN)
=0.1,0.1,0.01,0.1,0.1,0.01
GRID_WSTRIDE
frequency for dumping the grid
=10000 # GRID_RFILES=GRID.helix.lessthan,GRID.beta,GRID.rgyr,GRID.hydro,GRID.salt,GRID.dihcor
FILE
files in which the lists of added hills are stored, default names are assigned using arguments if FILE is not found
=HILLS_helix,HILLS_beta,HILLS_rgyr,HILLS_hydro,HILLS_salt,HILLS_dihcor
WALKERS_MPI
Switch on MPI version of multiple walkers - not compatible with WALKERS_* options other than WALKERS_DIR
LABEL
a label for the action so that its output can be referenced in the input to other actions
=pbmetad ... PBMETAD
# Metainference - one sigma per nucleus cs_ha:
METAINFERENCE
Calculates the Metainference energy for a set of experimental data. More details
ARG
the input for this action is the scalar output from one or more other actions
=(cs\.ha-.*),pbmetad.bias
PARARG
reference values for the experimental data, these can be provided as arguments without derivatives
=(cs\.expha
SIGMA0
initial value of the uncertainty parameter
=9.0
SIGMA_MIN
minimum value of the uncertainty parameter
=0.00001
SIGMA_MAX
maximum value of the uncertainty parameter
=10.0
DSIGMA
maximum MC move of the uncertainty parameter
=0.1
NOISETYPE
functional form of the noise (GAUSS,MGAUSS,OUTLIERS,MOUTLIERS,GENERIC)
=GAUSS
REWEIGHT
simple REWEIGHT using the latest ARG as energy
SIGMA_MEAN0
starting value for the uncertainty in the mean estimate
=0.5
OPTSIGMAMEAN
Set to NONE/SEM to manually set sigma mean, or to estimate it on the fly
=SEM
AVERAGING
Stride for calculation of averaged weights and sigma_mean
=500
WRITE_STRIDE
write the status to a file every N steps, this can be used for restart/continuation
=2500
STATUS_FILE
write a file with all the data useful for restart/continuation of Metainference
=MISTATUS.cs_ha cs_hn:
METAINFERENCE
Calculates the Metainference energy for a set of experimental data. More details
ARG
the input for this action is the scalar output from one or more other actions
=(cs\.hn-.*),pbmetad.bias
PARARG
reference values for the experimental data, these can be provided as arguments without derivatives
=(cs\.exphn
SIGMA0
initial value of the uncertainty parameter
=9.0
SIGMA_MIN
minimum value of the uncertainty parameter
=0.00001
SIGMA_MAX
maximum value of the uncertainty parameter
=10.0
DSIGMA
maximum MC move of the uncertainty parameter
=0.1
NOISETYPE
functional form of the noise (GAUSS,MGAUSS,OUTLIERS,MOUTLIERS,GENERIC)
=GAUSS
REWEIGHT
simple REWEIGHT using the latest ARG as energy
SIGMA_MEAN0
starting value for the uncertainty in the mean estimate
=0.5
OPTSIGMAMEAN
Set to NONE/SEM to manually set sigma mean, or to estimate it on the fly
=SEM
AVERAGING
Stride for calculation of averaged weights and sigma_mean
=500
WRITE_STRIDE
write the status to a file every N steps, this can be used for restart/continuation
=2500
STATUS_FILE
write a file with all the data useful for restart/continuation of Metainference
=MISTATUS.cs_hn cs_nh:
METAINFERENCE
Calculates the Metainference energy for a set of experimental data. More details
ARG
the input for this action is the scalar output from one or more other actions
=(cs\.nh-.*),pbmetad.bias
PARARG
reference values for the experimental data, these can be provided as arguments without derivatives
=(cs\.expnh
SIGMA0
initial value of the uncertainty parameter
=9.0
SIGMA_MIN
minimum value of the uncertainty parameter
=0.00001
SIGMA_MAX
maximum value of the uncertainty parameter
=10.0
DSIGMA
maximum MC move of the uncertainty parameter
=0.1
NOISETYPE
functional form of the noise (GAUSS,MGAUSS,OUTLIERS,MOUTLIERS,GENERIC)
=GAUSS
REWEIGHT
simple REWEIGHT using the latest ARG as energy
SIGMA_MEAN0
starting value for the uncertainty in the mean estimate
=0.5
OPTSIGMAMEAN
Set to NONE/SEM to manually set sigma mean, or to estimate it on the fly
=SEM
AVERAGING
Stride for calculation of averaged weights and sigma_mean
=500
WRITE_STRIDE
write the status to a file every N steps, this can be used for restart/continuation
=2500
STATUS_FILE
write a file with all the data useful for restart/continuation of Metainference
=MISTATUS.cs_nh cs_ca:
METAINFERENCE
Calculates the Metainference energy for a set of experimental data. More details
ARG
the input for this action is the scalar output from one or more other actions
=(cs\.ca-.*),pbmetad.bias
PARARG
reference values for the experimental data, these can be provided as arguments without derivatives
=(cs\.expca
SIGMA0
initial value of the uncertainty parameter
=9.0
SIGMA_MIN
minimum value of the uncertainty parameter
=0.00001
SIGMA_MAX
maximum value of the uncertainty parameter
=10.0
DSIGMA
maximum MC move of the uncertainty parameter
=0.1
NOISETYPE
functional form of the noise (GAUSS,MGAUSS,OUTLIERS,MOUTLIERS,GENERIC)
=GAUSS
REWEIGHT
simple REWEIGHT using the latest ARG as energy
SIGMA_MEAN0
starting value for the uncertainty in the mean estimate
=0.5
OPTSIGMAMEAN
Set to NONE/SEM to manually set sigma mean, or to estimate it on the fly
=SEM
AVERAGING
Stride for calculation of averaged weights and sigma_mean
=500
WRITE_STRIDE
write the status to a file every N steps, this can be used for restart/continuation
=2500
STATUS_FILE
write a file with all the data useful for restart/continuation of Metainference
=MISTATUS.cs_ca cs_cb:
METAINFERENCE
Calculates the Metainference energy for a set of experimental data. More details
ARG
the input for this action is the scalar output from one or more other actions
=(cs\.cb-.*),pbmetad.bias
PARARG
reference values for the experimental data, these can be provided as arguments without derivatives
=(cs\.expcb
SIGMA0
initial value of the uncertainty parameter
=9.0
SIGMA_MIN
minimum value of the uncertainty parameter
=0.00001
SIGMA_MAX
maximum value of the uncertainty parameter
=10.0
DSIGMA
maximum MC move of the uncertainty parameter
=0.1
NOISETYPE
functional form of the noise (GAUSS,MGAUSS,OUTLIERS,MOUTLIERS,GENERIC)
=GAUSS
REWEIGHT
simple REWEIGHT using the latest ARG as energy
SIGMA_MEAN0
starting value for the uncertainty in the mean estimate
=0.5
OPTSIGMAMEAN
Set to NONE/SEM to manually set sigma mean, or to estimate it on the fly
=SEM
AVERAGING
Stride for calculation of averaged weights and sigma_mean
=500
WRITE_STRIDE
write the status to a file every N steps, this can be used for restart/continuation
=2500
STATUS_FILE
write a file with all the data useful for restart/continuation of Metainference
=MISTATUS.cs_cb cs_co:
METAINFERENCE
Calculates the Metainference energy for a set of experimental data. More details
ARG
the input for this action is the scalar output from one or more other actions
=(cs\.co-.*),pbmetad.bias
PARARG
reference values for the experimental data, these can be provided as arguments without derivatives
=(cs\.expco
SIGMA0
initial value of the uncertainty parameter
=9.0
SIGMA_MIN
minimum value of the uncertainty parameter
=0.00001
SIGMA_MAX
maximum value of the uncertainty parameter
=10.0
DSIGMA
maximum MC move of the uncertainty parameter
=0.1
NOISETYPE
functional form of the noise (GAUSS,MGAUSS,OUTLIERS,MOUTLIERS,GENERIC)
=GAUSS
REWEIGHT
simple REWEIGHT using the latest ARG as energy
SIGMA_MEAN0
starting value for the uncertainty in the mean estimate
=0.5
OPTSIGMAMEAN
Set to NONE/SEM to manually set sigma mean, or to estimate it on the fly
=SEM
AVERAGING
Stride for calculation of averaged weights and sigma_mean
=500
WRITE_STRIDE
write the status to a file every N steps, this can be used for restart/continuation
=2500
STATUS_FILE
write a file with all the data useful for restart/continuation of Metainference
=MISTATUS.cs_co
# Ensemble statistics ens:
ENSEMBLE
Calculates the replica averaging of a collective variable over multiple replicas. More details
ARG
the input for this action is the scalar output from one or more other actions
=(cs\.ha-.*),(cs\.hn-.*),(cs\.nh-.*),(cs\.ca-.*),(cs\.cb-.*),(cs\.co-.*),pbmetad.bias
REWEIGHT
simple REWEIGHT using the latest ARG as energy

STATS
Calculates statistical properties of a set of collective variables with respect to a set of reference values. More details
...
ARG
the input for this action is the scalar output from one or more other actions
=(ens\.cs\.ha-.*),(ens\.cs\.hn-.*),(ens\.cs\.nh-.*),(ens\.cs\.ca-.*),(ens\.cs\.cb-.*),(ens\.cs\.co
PARARG
the input for this action is the scalar output from one or more other actions without derivatives
=(cs\.expha-.*),(cs\.exphn-.*),(cs\.expnh-.*),(cs\.expca-.*),(cs\.expcb-.*),(cs\.expco
LABEL
a label for the action so that its output can be referenced in the input to other actions
=stat ... STATS
#print out relevant info
PRINT
Print quantities to a file. More details
ARG
the input for this action is the scalar output from one or more other actions
=helix.lessthan,beta,rgyr,hydro,salt,dihcor,pbmetad.bias
FILE
the name of the file on which to output these quantities
=COLVAR
STRIDE
the frequency with which the quantities of interest should be output
=500
PRINT
Print quantities to a file. More details
ARG
the input for this action is the scalar output from one or more other actions
=(ens.*),(stat
FILE
the name of the file on which to output these quantities
=STATS
STRIDE
the frequency with which the quantities of interest should be output
=500
PRINT
Print quantities to a file. More details
ARG
the input for this action is the scalar output from one or more other actions
=(cs_ha
FILE
the name of the file on which to output these quantities
=BAYES.HA
STRIDE
the frequency with which the quantities of interest should be output
=500
PRINT
Print quantities to a file. More details
ARG
the input for this action is the scalar output from one or more other actions
=(cs_hn
FILE
the name of the file on which to output these quantities
=BAYES.HN
STRIDE
the frequency with which the quantities of interest should be output
=500
PRINT
Print quantities to a file. More details
ARG
the input for this action is the scalar output from one or more other actions
=(cs_nh
FILE
the name of the file on which to output these quantities
=BAYES.NH
STRIDE
the frequency with which the quantities of interest should be output
=500
PRINT
Print quantities to a file. More details
ARG
the input for this action is the scalar output from one or more other actions
=(cs_ca
FILE
the name of the file on which to output these quantities
=BAYES.CA
STRIDE
the frequency with which the quantities of interest should be output
=500
PRINT
Print quantities to a file. More details
ARG
the input for this action is the scalar output from one or more other actions
=(cs_cb
FILE
the name of the file on which to output these quantities
=BAYES.CB
STRIDE
the frequency with which the quantities of interest should be output
=500
PRINT
Print quantities to a file. More details
ARG
the input for this action is the scalar output from one or more other actions
=(cs_co
FILE
the name of the file on which to output these quantities
=BAYES.CO
STRIDE
the frequency with which the quantities of interest should be output
=500
ENDPLUMED
Terminate plumed input. More details